Results 91 to 100 of about 121,868 (329)
ABSTRACT Although recent literature on the circular economy (CE) has highlighted the important role of ecosystems, there is still limited understanding of the main themes that characterize circular ecosystems. This study addresses this gap by combining a comprehensive topic modeling analysis employing latent Dirichlet allocation (LDA) with a systematic
Aline Gabriela Ferrari +4 more
wiley +1 more source
Attention-enhanced reinforcement learning for dynamic portfolio optimization
We propose a deep reinforcement learning framework for dynamic portfolio optimization that combines a Dirichlet policy with cross-sectional attention mechanisms.
Pei Xue, Yuanchun Ye
doaj +1 more source
ABSTRACT This study examines how European automotive companies disclose circular economy (CE) information in light of the Corporate Sustainability Reporting Directive (CSRD) and the European Sustainability Reporting Standards (ESRS) E5. Using a mixed‐methods, data‐driven approach that combines keyword analysis and latent Dirichlet allocation (LDA ...
Dominika Hadro +4 more
wiley +1 more source
Detecting Spatial Clusters via a Mixture of Dirichlet Processes
We proposed an approach that has the ability to detect spatial clusters with skewed or irregular distributions. A mixture of Dirichlet processes (DP) was used to describe spatial distribution patterns.
Meredith A. Ray +2 more
doaj +1 more source
On the posterior distribution of classes of random means [PDF]
The study of properties of mean functionals of random probability measures is an important area of research in the theory of Bayesian nonparametric statistics.
Antonio Lijoi +2 more
core
Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh +3 more
wiley +1 more source
Bayesian estimation of the orthogonal decomposition of a contingency table
In a multinomial sampling, contingency tables can be parametrized by probabilities of each cell. These probabilities constitute the joint probability function of two or more discrete random variables. These probability tables have been previously studied
M.I. Ortego, J. J. Egozcue
doaj +1 more source
Bayesian clustering of multivariate extremes
Abstract The asymptotic dependence structure between multivariate extreme values is fully characterized by their projections on the unit simplex. Under mild conditions, the only constraint on the resulting distributions is that their marginal means must be equal, which results in a nonparametric model that can be difficult to use in applications ...
Sonia Alouini, Anthony C. Davison
wiley +1 more source
A Dirichlet-Multinomial Bayes Classifier for Disease Diagnosis with Microbial Compositions
Dysbiosis of microbial communities is associated with various human diseases, raising the possibility of using microbial compositions as biomarkers for disease diagnosis.
Xiang Gao, Huaiying Lin, Qunfeng Dong
doaj +1 more source
NOTE ON THE DISTRIBUTION OF THE DIRICHLET L-FUNCTIONS AT THE a-POINTS OF THE CORRESPONDING ∆-FUNCTIONS KAMEL MAZHOUDA AND MOHAMMED MEKKAOUI [PDF]
Mohammed Mekkaoui +6 more
openalex +1 more source

